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A Neural Network Approach for Building An Obstacle Detection Model by Fusion of Proximity Sensors Data
Proximity sensors are broadly used in mobile robots for obstacle detection. The traditional calibration process of this kind of sensor could be a time-consuming task because it is usually done by identification in a manual and repetitive way. The resulting obstacles detection models are usually nonl...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877112/ https://www.ncbi.nlm.nih.gov/pubmed/29495338 http://dx.doi.org/10.3390/s18030683 |